I'm Harish Gandhi. I build and run the pipelines behind TextNow's analytics — ETL, data automation, and ML integrations in production, across consumer-app and healthcare domains. M.S. in Computer Science, IIT Chicago.
Projects spanning machine learning, NLP, data engineering, and voice interfaces — from award-winning AI assistants to published research.
Won the TextNow AI Hackathon 2025 against company-wide teams. The assistant classifies incoming support questions against Slack history, surfaces the closest past answers, and escalates unmatched queries to Jira with auto-generated ticket context.
Analyzed the impact of mandatory calorie labeling on restaurant menu choices using causal inference and statistical modeling. Presented at PyData Chicago.
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Web analytics dashboard tracking recruiter engagement patterns on LinkedIn profiles using web scraping and data visualization pipelines.
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Supervised ML models (Random Forest, SVM, XGBoost) on the Chicago crime dataset predicting crime type and location with 85%+ classification accuracy.
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Published Amazon Alexa skill reciting couplets from the ancient Tamil classic Tirukkural, with contextual explanations and keyword search.
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NLP pipeline crawling major news outlets, applying sentiment analysis and topic modeling to surface a daily "optimism score" with positive story highlights.
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Computer vision system monitoring patient activity and posture in clinical settings, using image classification and time-series anomaly detection.
Learn moreConcentration in Data Science, Software Engineering & Database Systems.
Won with the AI Support Assistant featured above.
Contributing to open-source scientific computing community outreach.
Presented text mining and causal inference research on restaurant calorie labeling policy.
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